Misleading Data & Visuals

Edit 0 1 …

Ways Graphs and Charts May Be Misleading

  1. Omitting Labels
  2. Omitting Title
  3. Use of Rhetorical Language in Titles and Labels
  4. Uneven scales on horizontal or vertical axis
  5. Ignoring the Outliers
  6. Excluding Data
  7. Use of Pictures
  8. Grouping of Data to Hide Elements

Ways Data Collection May be Misleading or Unreliable

  1. Restricting Sources (ex. random calls to homes during the day will ensure most respondents are either [[#|stay-at-home]] moms or retired people).
  2. Leading Questions
  3. Bias in Questions
  4. Cherry Picking
#